@article{MAKHILLIJSC201813621456,
    title = {Speed Control of 8/6 Switched Reluctance Motor Using
Torque Ripple Reduction Techniques},
    journal = {International Journal of Soft Computing},
    volume = {13},
    number = {6},
    pages = {158-166},
    year = {2018},
    issn = {1816-9503},
    doi = {ijscomp.2018.158.166},
    url = {https://makhillpublications.co/view-article.php?issn=1816-9503&doi=ijscomp.2018.158.166},
    author = {Amged,Usama,Mohamed and},
    keywords = {Switched Reluctance Motor (SRM),Firefly Algorithm (FA),Particle Swarm Optimization (PSO),torque ripples reduction,Torque Sharing Function (TSF),significant},
    abstract = {Switched Reluctance Motor (SRM) has become popular in various applications because of its high
torque to inertia ratio, high efficiency, variable speed operation capabilities. The SRM primary drawback is
torque ripples in the developed torque leading to notable noise and vibrations. Large torque ripples in SRM
are due to the switching currents into its stator coils and its nonlinear magnetic nature during operation. By
controlling and monitoring the torque of the SRM a significant decrease in torque ripples and even motor
efficiency improvement can be carried out. In this study, two stochastic-based optimal PI controllers are used
for speed control of an 8/6 SRM Model using MATLAB/Simulink tool with three types of torque sharing
functions for torque ripple reduction and achieving overall performance improvement.}
    }